23 of 23 Reinforcement Learning Jobs in the South East

large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay up to date with current literature to integrate cutting-edge ideas into our core stack. As part … effective user experiences. Your Responsibilities As a Senior Staff Research Scientist, you'll lead the design, implementation, and deployment of cutting-edge research in reinforcement learning and post-training at scale. You will define DeepL's scientific direction in this area, mentor researchers, and drive innovations that make ...

currently working on an AI Engineer role with a global language and translation company. You will be designing, developing, and deploying cutting-edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing … code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning ...

Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution …/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people ...

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office … production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software ...

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning ...

Explore methods in synthetic data generation, foundation-model adaptation, and model compression. Your Profile • Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics (or related quantitative field), or equivalent industry research experience. • Ideally 3+ years in machine learning/deep learning/LLMs … adjacent advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally. • English is the working language; additional languages ...

preparing for an international launch, we're now looking for a Senior Data Scientist. What you'll be doing: Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling … Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

systems. What You'll Be Doing Developing and maintaining top-level robot application code. Integrating modules from cross-functional teams: controls, navigation, computer vision, reinforcement learning, and platform. Designing and evolving application-side architecture and interfaces. Making pragmatic technical decisions to accelerate delivery. Collaborating with product teams ...